Josh Dillon, Last Revised January 2022
This notebook examines an individual antenna's performance over a whole season. This notebook parses information from each nightly rtp_summarynotebook (as saved to .csvs) and builds a table describing antenna performance. It also reproduces per-antenna plots from each auto_metrics notebook pertinent to the specific antenna.
import os
from IPython.display import display, HTML
display(HTML("<style>.container { width:100% !important; }</style>"))
# If you want to run this notebook locally, copy the output of the next cell into the next line of this cell.
# antenna = "004"
# csv_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/_rtp_summary_'
# auto_metrics_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/auto_metrics_inspect'
# os.environ["ANTENNA"] = antenna
# os.environ["CSV_FOLDER"] = csv_folder
# os.environ["AUTO_METRICS_FOLDER"] = auto_metrics_folder
# Use environment variables to figure out path to the csvs and auto_metrics
antenna = str(int(os.environ["ANTENNA"]))
csv_folder = os.environ["CSV_FOLDER"]
auto_metrics_folder = os.environ["AUTO_METRICS_FOLDER"]
print(f'antenna = "{antenna}"')
print(f'csv_folder = "{csv_folder}"')
print(f'auto_metrics_folder = "{auto_metrics_folder}"')
antenna = "36" csv_folder = "/home/obs/src/H6C_Notebooks/_rtp_summary_" auto_metrics_folder = "/home/obs/src/H6C_Notebooks/auto_metrics_inspect"
display(HTML(f'<h1 style=font-size:50px><u>Antenna {antenna} Report</u><p></p></h1>'))
import numpy as np
import pandas as pd
pd.set_option('display.max_rows', 1000)
import glob
import re
from hera_notebook_templates.utils import status_colors, Antenna
# load csvs and auto_metrics htmls in reverse chronological order
csvs = sorted(glob.glob(os.path.join(csv_folder, 'rtp_summary_table*.csv')))[::-1]
print(f'Found {len(csvs)} csvs in {csv_folder}')
auto_metric_htmls = sorted(glob.glob(auto_metrics_folder + '/auto_metrics_inspect_*.html'))[::-1]
print(f'Found {len(auto_metric_htmls)} auto_metrics notebooks in {auto_metrics_folder}')
Found 57 csvs in /home/obs/src/H6C_Notebooks/_rtp_summary_ Found 55 auto_metrics notebooks in /home/obs/src/H6C_Notebooks/auto_metrics_inspect
# Per-season options
mean_round_modz_cut = 4
dead_cut = 0.4
crossed_cut = 0.0
def jd_to_summary_url(jd):
return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/_rtp_summary_/rtp_summary_{jd}.html'
def jd_to_auto_metrics_url(jd):
return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/auto_metrics_inspect/auto_metrics_inspect_{jd}.html'
this_antenna = None
jds = []
# parse information about antennas and nodes
for csv in csvs:
df = pd.read_csv(csv)
for n in range(len(df)):
# Add this day to the antenna
row = df.loc[n]
if isinstance(row['Ant'], str) and '<a href' in row['Ant']:
antnum = int(row['Ant'].split('</a>')[0].split('>')[-1]) # it's a link, extract antnum
else:
antnum = int(row['Ant'])
if antnum != int(antenna):
continue
if np.issubdtype(type(row['Node']), np.integer):
row['Node'] = str(row['Node'])
if type(row['Node']) == str and row['Node'].isnumeric():
row['Node'] = 'N' + ('0' if len(row['Node']) == 1 else '') + row['Node']
if this_antenna is None:
this_antenna = Antenna(row['Ant'], row['Node'])
jd = [int(s) for s in re.split('_|\.', csv) if s.isdigit()][-1]
jds.append(jd)
this_antenna.add_day(jd, row)
break
# build dataframe
to_show = {'JDs': [f'<a href="{jd_to_summary_url(jd)}" target="_blank">{jd}</a>' for jd in jds]}
to_show['A Priori Status'] = [this_antenna.statuses[jd] for jd in jds]
df = pd.DataFrame(to_show)
# create bar chart columns for flagging percentages:
bar_cols = {}
bar_cols['Auto Metrics Flags'] = [this_antenna.auto_flags[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jee)'] = [this_antenna.dead_flags_Jee[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jnn)'] = [this_antenna.dead_flags_Jnn[jd] for jd in jds]
bar_cols['Crossed Fraction in Ant Metrics'] = [this_antenna.crossed_flags[jd] for jd in jds]
bar_cols['Flag Fraction Before Redcal'] = [this_antenna.flags_before_redcal[jd] for jd in jds]
bar_cols['Flagged By Redcal chi^2 Fraction'] = [this_antenna.redcal_flags[jd] for jd in jds]
for col in bar_cols:
df[col] = bar_cols[col]
z_score_cols = {}
z_score_cols['ee Shape Modified Z-Score'] = [this_antenna.ee_shape_zs[jd] for jd in jds]
z_score_cols['nn Shape Modified Z-Score'] = [this_antenna.nn_shape_zs[jd] for jd in jds]
z_score_cols['ee Power Modified Z-Score'] = [this_antenna.ee_power_zs[jd] for jd in jds]
z_score_cols['nn Power Modified Z-Score'] = [this_antenna.nn_power_zs[jd] for jd in jds]
z_score_cols['ee Temporal Variability Modified Z-Score'] = [this_antenna.ee_temp_var_zs[jd] for jd in jds]
z_score_cols['nn Temporal Variability Modified Z-Score'] = [this_antenna.nn_temp_var_zs[jd] for jd in jds]
z_score_cols['ee Temporal Discontinuties Modified Z-Score'] = [this_antenna.ee_temp_discon_zs[jd] for jd in jds]
z_score_cols['nn Temporal Discontinuties Modified Z-Score'] = [this_antenna.nn_temp_discon_zs[jd] for jd in jds]
for col in z_score_cols:
df[col] = z_score_cols[col]
ant_metrics_cols = {}
ant_metrics_cols['Average Dead Ant Metric (Jee)'] = [this_antenna.Jee_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Dead Ant Metric (Jnn)'] = [this_antenna.Jnn_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Crossed Ant Metric'] = [this_antenna.crossed_metrics[jd] for jd in jds]
for col in ant_metrics_cols:
df[col] = ant_metrics_cols[col]
redcal_cols = {}
redcal_cols['Median chi^2 Per Antenna (Jee)'] = [this_antenna.Jee_chisqs[jd] for jd in jds]
redcal_cols['Median chi^2 Per Antenna (Jnn)'] = [this_antenna.Jnn_chisqs[jd] for jd in jds]
for col in redcal_cols:
df[col] = redcal_cols[col]
# style dataframe
table = df.style.hide_index()\
.applymap(lambda val: f'background-color: {status_colors[val]}' if val in status_colors else '', subset=['A Priori Status']) \
.background_gradient(cmap='viridis', vmax=mean_round_modz_cut * 3, vmin=0, axis=None, subset=list(z_score_cols.keys())) \
.background_gradient(cmap='bwr_r', vmin=dead_cut-.25, vmax=dead_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
.background_gradient(cmap='bwr_r', vmin=crossed_cut-.25, vmax=crossed_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
.background_gradient(cmap='plasma', vmax=4, vmin=1, axis=None, subset=list(redcal_cols.keys())) \
.applymap(lambda val: 'font-weight: bold' if val < dead_cut else '', subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
.applymap(lambda val: 'font-weight: bold' if val < crossed_cut else '', subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
.applymap(lambda val: 'font-weight: bold' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
.applymap(lambda val: 'color: red' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
.bar(subset=list(bar_cols.keys()), vmin=0, vmax=1) \
.format({col: '{:,.4f}'.format for col in z_score_cols}) \
.format({col: '{:,.4f}'.format for col in ant_metrics_cols}) \
.format('{:,.2%}', na_rep='-', subset=list(bar_cols.keys())) \
.set_table_styles([dict(selector="th",props=[('max-width', f'70pt')])])
This table reproduces each night's row for this antenna from the RTP Summary notebooks. For more info on the columns, see those notebooks, linked in the JD column.
display(HTML(f'<h2>Antenna {antenna}, Node {this_antenna.node}:</h2>'))
HTML(table.render(render_links=True, escape=False))
| JDs | A Priori Status | Auto Metrics Flags | Dead Fraction in Ant Metrics (Jee) | Dead Fraction in Ant Metrics (Jnn) | Crossed Fraction in Ant Metrics | Flag Fraction Before Redcal | Flagged By Redcal chi^2 Fraction | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | Average Dead Ant Metric (Jee) | Average Dead Ant Metric (Jnn) | Average Crossed Ant Metric | Median chi^2 Per Antenna (Jee) | Median chi^2 Per Antenna (Jnn) |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2459872 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 13.289750 | 12.545622 | 0.942205 | 0.808689 | 2.416892 | 4.418416 | 0.569188 | 0.348563 | 0.6982 | 0.6802 | 0.3952 | nan | nan |
| 2459871 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 11.018715 | 9.933727 | 1.068991 | 0.793344 | 1.919293 | 2.408856 | 0.116858 | -0.033492 | 0.7085 | 0.6800 | 0.3886 | nan | nan |
| 2459870 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 17.600218 | 15.998548 | 0.626383 | 0.461990 | 0.311550 | 1.520946 | 0.339101 | 1.063323 | 0.7094 | 0.6884 | 0.3917 | nan | nan |
| 2459869 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 14.298482 | 14.492245 | 0.539042 | 0.453894 | 1.899902 | 2.457172 | 1.109633 | 0.961099 | 0.7129 | 0.7025 | 0.3875 | nan | nan |
| 2459868 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 16.152142 | 14.573125 | 1.211722 | 0.799232 | 0.996266 | 1.694226 | 1.896962 | 1.037172 | 0.6959 | 0.6790 | 0.4083 | nan | nan |
| 2459867 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 11.870346 | 10.333174 | 0.683785 | 0.469956 | 0.037163 | 0.447918 | 2.441298 | 0.740446 | 0.7105 | 0.6846 | 0.4053 | nan | nan |
| 2459866 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 13.014050 | 11.690401 | 0.750285 | 0.619963 | 0.421232 | 1.412974 | 0.682543 | 0.261469 | 0.7109 | 0.6865 | 0.3976 | nan | nan |
| 2459865 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 14.800719 | 13.932980 | 0.887162 | 0.851410 | 2.212603 | 3.235887 | 1.631069 | 0.202479 | 0.7290 | 0.7040 | 0.3712 | nan | nan |
| 2459864 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 16.773215 | 15.169881 | 0.894126 | -0.573742 | 0.744302 | 0.908044 | 0.917132 | 2.230939 | 0.7074 | 0.6803 | 0.4176 | nan | nan |
| 2459863 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 12.123291 | 10.802251 | 0.498599 | 0.161137 | 0.333021 | 0.724400 | 0.558871 | 0.345828 | 0.6997 | 0.6675 | 0.4075 | nan | nan |
| 2459862 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 12.817209 | 9.243431 | 0.463237 | -0.681730 | 1.796591 | 2.064196 | -0.109778 | 0.071558 | 0.6858 | 0.7001 | 0.4215 | nan | nan |
| 2459861 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 9.089268 | 6.737148 | 0.514920 | 0.420242 | 0.931396 | 1.069311 | 0.245630 | 0.382363 | 0.7112 | 0.6770 | 0.4226 | nan | nan |
| 2459860 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 9.842988 | 7.306042 | 0.347522 | -0.590080 | 1.118278 | 1.628816 | 0.007135 | 0.122877 | 0.7197 | 0.6770 | 0.4173 | nan | nan |
| 2459859 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 8.241231 | 5.783831 | 0.477717 | 0.306265 | 1.130388 | 0.643031 | 0.494601 | 0.514272 | 0.7256 | 0.6812 | 0.4100 | nan | nan |
| 2459858 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 8.930102 | 6.467447 | 0.565062 | 0.258802 | 1.083081 | 1.116100 | 0.046378 | 0.401780 | 0.7346 | 0.6878 | 0.4239 | 3.141789 | 2.594408 |
| 2459857 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 12.336733 | 9.681288 | 4.443893 | 3.041124 | 3.232757 | 3.449734 | 6.952385 | 6.686254 | 0.0229 | 0.0228 | 0.0003 | nan | nan |
| 2459856 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 12.547688 | 9.438150 | 0.268474 | -0.575805 | 1.124383 | 0.840911 | -0.075005 | 0.243882 | 0.7258 | 0.7047 | 0.4050 | 3.088899 | 2.553626 |
| 2459855 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 14.518046 | 11.361278 | 0.232853 | -0.748641 | 0.679636 | 0.495966 | 0.447578 | 0.465646 | 0.7098 | 0.7242 | 0.4334 | 3.474946 | 3.028325 |
| 2459854 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 14.565054 | 10.662426 | -0.016337 | -0.404137 | 0.313249 | -0.243482 | 0.157122 | 0.414295 | 0.7211 | 0.7414 | 0.4434 | 3.348374 | 2.622967 |
| 2459853 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 11.214019 | 8.338323 | 0.042118 | -0.191187 | 0.402541 | 0.594540 | 0.421164 | 0.934878 | 0.7484 | 0.6914 | 0.4278 | 3.116597 | 2.644382 |
| 2459852 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 8.201833 | 8.645750 | -0.396085 | -0.092569 | 0.155983 | 0.484518 | -0.116255 | 0.322017 | 0.8301 | 0.8335 | 0.2479 | 4.767948 | 4.771387 |
| 2459851 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 9.501669 | 7.825513 | 0.181968 | -0.100073 | 1.335286 | 1.539314 | 0.251767 | 0.355790 | 0.7695 | 0.7536 | 0.3391 | 4.592192 | 3.353756 |
| 2459850 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 10.791388 | 9.161427 | 0.043880 | -0.211546 | 0.597875 | 1.282477 | 0.901861 | 0.854432 | 0.7482 | 0.7602 | 0.3571 | 3.147711 | 2.624873 |
| 2459849 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 12.743174 | 10.222059 | 0.900298 | 0.397094 | 1.554920 | 1.265789 | 2.280433 | 1.134409 | 0.7468 | 0.7521 | 0.3632 | 3.972976 | 3.242505 |
| 2459848 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 12.193845 | 10.007033 | -0.023591 | -0.011192 | 2.849987 | 2.876716 | 0.213482 | 1.234972 | 0.7268 | 0.7531 | 0.3875 | 3.546039 | 2.888568 |
| 2459847 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 12.301129 | 10.313657 | -0.014436 | 0.021567 | 1.656222 | 1.915806 | 1.287043 | 0.849508 | 0.7345 | 0.6883 | 0.4344 | 5.376004 | 3.914676 |
| 2459846 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 12.671358 | 10.122188 | 0.013667 | 0.137950 | -1.016965 | -0.226916 | -0.254662 | 0.386282 | 0.8317 | 0.6753 | 0.5066 | 3.727564 | 2.803578 |
| 2459845 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 14.667972 | 11.764045 | 0.473286 | 1.206371 | 2.406114 | 1.576475 | 0.527508 | 0.500959 | 0.7372 | 0.7529 | 0.3806 | 2.059244 | 1.686060 |
| 2459844 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 29.015706 | 21.062125 | 23.818029 | 18.048132 | 3.003095 | 2.863274 | 9.324786 | 8.611221 | 0.0227 | 0.0226 | 0.0004 | nan | nan |
| 2459843 | RF_maintenance | 100.00% | 0.66% | 0.66% | 0.00% | 100.00% | 0.00% | 11.555207 | 10.682209 | 2.535306 | -0.719919 | 1.616988 | 2.423553 | -0.235827 | 0.723602 | 0.7471 | 0.7524 | 0.3950 | 4.762892 | 3.942423 |
| 2459840 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 75.057894 | 68.959674 | 16.281945 | 12.944516 | 6.592986 | 5.715997 | 13.889925 | 15.066901 | 0.0204 | 0.0201 | 0.0007 | nan | nan |
| 2459839 | RF_maintenance | 100.00% | - | - | - | - | - | 19.415958 | 18.036785 | 38.905361 | 31.430217 | 2.527586 | 1.770498 | 18.873967 | 19.766930 | nan | nan | nan | nan | nan |
| 2459838 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 13.922511 | 9.984268 | -0.119789 | -0.288826 | 1.808223 | 2.536685 | 0.444779 | 0.836207 | 0.7600 | 0.7016 | 0.4018 | 6.580772 | 5.338506 |
| 2459836 | RF_maintenance | - | 100.00% | 100.00% | 0.00% | - | - | nan | nan | nan | nan | nan | nan | nan | nan | 0.0314 | 0.0317 | 0.0009 | nan | nan |
| 2459835 | RF_maintenance | 0.00% | 100.00% | 100.00% | 0.00% | - | - | 1.129556 | 0.035389 | -0.404428 | -0.087797 | -0.148537 | 0.087338 | -0.531358 | 0.183003 | 0.0311 | 0.0312 | 0.0009 | nan | nan |
| 2459833 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 8.119930 | 6.030624 | 6.152312 | 4.605768 | 3.326741 | 3.833003 | 5.690417 | 6.889872 | 0.0237 | 0.0235 | 0.0007 | nan | nan |
| 2459832 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 16.254411 | 11.756293 | -0.202944 | -0.441096 | 0.145136 | -0.042105 | -0.208456 | 1.021058 | 0.8084 | 0.5216 | 0.5840 | 4.578771 | 3.562093 |
| 2459831 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 20.293840 | 18.805289 | 42.843357 | 36.065268 | 6.638884 | 6.135119 | 15.736383 | 17.063723 | 0.0211 | 0.0209 | 0.0007 | nan | nan |
| 2459830 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 15.673280 | 12.110689 | 0.218918 | -0.352662 | 2.436842 | -0.171192 | 0.189662 | 1.303937 | 0.8074 | 0.5334 | 0.5654 | 6.790783 | 4.596110 |
| 2459829 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 21.218160 | 15.506743 | 0.000109 | -0.275395 | 2.881206 | 1.431390 | 1.679626 | 2.186121 | 0.7667 | 0.6617 | 0.4121 | 35.035553 | 22.350227 |
| 2459828 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 12.488536 | 9.188533 | -0.032083 | -0.313139 | 2.050127 | -0.141140 | 1.430899 | 2.525041 | 0.8017 | 0.5394 | 0.5484 | 4.578186 | 3.378252 |
| 2459827 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 15.831478 | 11.871588 | 0.406583 | -0.001201 | 1.431135 | 0.709282 | 1.347805 | 0.462460 | 0.7673 | 0.6651 | 0.4104 | 11.436197 | 7.618471 |
| 2459826 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 11.066510 | 8.427223 | 0.536569 | -0.092161 | 0.871691 | 0.679118 | 0.961996 | 3.058709 | 0.7933 | 0.5494 | 0.5233 | 6.474282 | 4.612829 |
| 2459825 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 10.789630 | 8.710529 | 0.026858 | -0.419685 | 1.482777 | 0.899228 | -0.015141 | 1.116562 | 0.7938 | 0.5584 | 0.5266 | 5.293341 | 4.865313 |
| 2459824 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 14.618815 | 11.252529 | -0.022509 | -0.236434 | 1.589202 | 2.565256 | 3.284808 | 2.395897 | 0.7382 | 0.7291 | 0.3600 | 12.697384 | 8.100683 |
| 2459823 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 4.571088 | 4.962658 | 0.736730 | -0.269548 | 1.782601 | 0.179344 | -0.165174 | 1.955274 | 0.7719 | 0.6303 | 0.4621 | 6.353631 | 5.422087 |
| 2459822 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 8.703575 | 7.614487 | 0.353594 | -0.142058 | 1.535267 | -0.069257 | -0.587927 | -0.685150 | 0.7918 | 0.5812 | 0.5139 | 5.460983 | 4.691915 |
| 2459821 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 9.637985 | 8.091595 | 0.246248 | -0.264689 | 1.676658 | 0.327945 | -0.016433 | 0.110516 | 0.7844 | 0.5927 | 0.5236 | 4.518257 | 3.836825 |
| 2459820 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 14.246222 | 11.469417 | 0.152872 | -0.031847 | 5.457803 | 3.385039 | 1.849850 | 1.210246 | 0.7788 | 0.6844 | 0.4178 | 5.280610 | 4.342452 |
| 2459817 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 8.672745 | 6.422420 | 0.024441 | -0.366244 | 0.759094 | -0.356115 | 0.019205 | -0.123598 | 0.7937 | 0.6314 | 0.5160 | 3.321809 | 2.913870 |
| 2459816 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 11.440527 | 8.222723 | 0.128244 | -0.066921 | 1.739510 | -0.076520 | 0.041431 | 1.374649 | 0.8390 | 0.5752 | 0.6048 | 3.271200 | 2.850943 |
| 2459815 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 7.678501 | 6.336392 | 0.215336 | -0.103265 | 1.558218 | 0.607199 | 0.003176 | 0.996903 | 0.7874 | 0.6467 | 0.5232 | 3.275533 | 2.780819 |
| 2459814 | RF_maintenance | 0.00% | - | - | - | - | - | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan |
| 2459813 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 17.116824 | 14.632540 | -0.225881 | -0.170593 | 6.925480 | 3.667649 | 2.206866 | 4.798288 | 0.8000 | 0.7225 | 0.3985 | 0.000000 | 0.000000 |
auto_metrics notebooks.¶htmls_to_display = []
for am_html in auto_metric_htmls:
html_to_display = ''
# read html into a list of lines
with open(am_html) as f:
lines = f.readlines()
# find section with this antenna's metric plots and add to html_to_display
jd = [int(s) for s in re.split('_|\.', am_html) if s.isdigit()][-1]
try:
section_start_line = lines.index(f'<h2>Antenna {antenna}: {jd}</h2>\n')
except ValueError:
continue
html_to_display += lines[section_start_line].replace(str(jd), f'<a href="{jd_to_auto_metrics_url(jd)}" target="_blank">{jd}</a>')
for line in lines[section_start_line + 1:]:
html_to_display += line
if '<hr' in line:
htmls_to_display.append(html_to_display)
break
These figures are reproduced from auto_metrics notebooks. For more info on the specific plots and metrics, see those notebooks (linked at the JD). The most recent 100 days (at most) are shown.
for i, html_to_display in enumerate(htmls_to_display):
if i == 100:
break
display(HTML(html_to_display))
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 36 | N03 | RF_maintenance | ee Shape | 13.289750 | 12.545622 | 13.289750 | 0.808689 | 0.942205 | 4.418416 | 2.416892 | 0.348563 | 0.569188 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 36 | N03 | RF_maintenance | ee Shape | 11.018715 | 9.933727 | 11.018715 | 0.793344 | 1.068991 | 2.408856 | 1.919293 | -0.033492 | 0.116858 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 36 | N03 | RF_maintenance | ee Shape | 17.600218 | 17.600218 | 15.998548 | 0.626383 | 0.461990 | 0.311550 | 1.520946 | 0.339101 | 1.063323 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 36 | N03 | RF_maintenance | nn Shape | 14.492245 | 14.298482 | 14.492245 | 0.539042 | 0.453894 | 1.899902 | 2.457172 | 1.109633 | 0.961099 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 36 | N03 | RF_maintenance | ee Shape | 16.152142 | 16.152142 | 14.573125 | 1.211722 | 0.799232 | 0.996266 | 1.694226 | 1.896962 | 1.037172 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 36 | N03 | RF_maintenance | ee Shape | 11.870346 | 11.870346 | 10.333174 | 0.683785 | 0.469956 | 0.037163 | 0.447918 | 2.441298 | 0.740446 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 36 | N03 | RF_maintenance | ee Shape | 13.014050 | 11.690401 | 13.014050 | 0.619963 | 0.750285 | 1.412974 | 0.421232 | 0.261469 | 0.682543 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 36 | N03 | RF_maintenance | ee Shape | 14.800719 | 14.800719 | 13.932980 | 0.887162 | 0.851410 | 2.212603 | 3.235887 | 1.631069 | 0.202479 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 36 | N03 | RF_maintenance | ee Shape | 16.773215 | 15.169881 | 16.773215 | -0.573742 | 0.894126 | 0.908044 | 0.744302 | 2.230939 | 0.917132 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 36 | N03 | RF_maintenance | ee Shape | 12.123291 | 12.123291 | 10.802251 | 0.498599 | 0.161137 | 0.333021 | 0.724400 | 0.558871 | 0.345828 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 36 | N03 | RF_maintenance | ee Shape | 12.817209 | 12.817209 | 9.243431 | 0.463237 | -0.681730 | 1.796591 | 2.064196 | -0.109778 | 0.071558 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 36 | N03 | RF_maintenance | ee Shape | 9.089268 | 6.737148 | 9.089268 | 0.420242 | 0.514920 | 1.069311 | 0.931396 | 0.382363 | 0.245630 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 36 | N03 | RF_maintenance | ee Shape | 9.842988 | 9.842988 | 7.306042 | 0.347522 | -0.590080 | 1.118278 | 1.628816 | 0.007135 | 0.122877 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 36 | N03 | RF_maintenance | ee Shape | 8.241231 | 8.241231 | 5.783831 | 0.477717 | 0.306265 | 1.130388 | 0.643031 | 0.494601 | 0.514272 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 36 | N03 | RF_maintenance | ee Shape | 8.930102 | 6.467447 | 8.930102 | 0.258802 | 0.565062 | 1.116100 | 1.083081 | 0.401780 | 0.046378 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 36 | N03 | RF_maintenance | ee Shape | 12.336733 | 9.681288 | 12.336733 | 3.041124 | 4.443893 | 3.449734 | 3.232757 | 6.686254 | 6.952385 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 36 | N03 | RF_maintenance | ee Shape | 12.547688 | 12.547688 | 9.438150 | 0.268474 | -0.575805 | 1.124383 | 0.840911 | -0.075005 | 0.243882 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 36 | N03 | RF_maintenance | ee Shape | 14.518046 | 11.361278 | 14.518046 | -0.748641 | 0.232853 | 0.495966 | 0.679636 | 0.465646 | 0.447578 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 36 | N03 | RF_maintenance | ee Shape | 14.565054 | 10.662426 | 14.565054 | -0.404137 | -0.016337 | -0.243482 | 0.313249 | 0.414295 | 0.157122 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 36 | N03 | RF_maintenance | ee Shape | 11.214019 | 8.338323 | 11.214019 | -0.191187 | 0.042118 | 0.594540 | 0.402541 | 0.934878 | 0.421164 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 36 | N03 | RF_maintenance | nn Shape | 8.645750 | 8.201833 | 8.645750 | -0.396085 | -0.092569 | 0.155983 | 0.484518 | -0.116255 | 0.322017 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 36 | N03 | RF_maintenance | ee Shape | 9.501669 | 9.501669 | 7.825513 | 0.181968 | -0.100073 | 1.335286 | 1.539314 | 0.251767 | 0.355790 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 36 | N03 | RF_maintenance | ee Shape | 10.791388 | 10.791388 | 9.161427 | 0.043880 | -0.211546 | 0.597875 | 1.282477 | 0.901861 | 0.854432 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 36 | N03 | RF_maintenance | ee Shape | 12.743174 | 12.743174 | 10.222059 | 0.900298 | 0.397094 | 1.554920 | 1.265789 | 2.280433 | 1.134409 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 36 | N03 | RF_maintenance | ee Shape | 12.193845 | 10.007033 | 12.193845 | -0.011192 | -0.023591 | 2.876716 | 2.849987 | 1.234972 | 0.213482 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 36 | N03 | RF_maintenance | ee Shape | 12.301129 | 10.313657 | 12.301129 | 0.021567 | -0.014436 | 1.915806 | 1.656222 | 0.849508 | 1.287043 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 36 | N03 | RF_maintenance | ee Shape | 12.671358 | 12.671358 | 10.122188 | 0.013667 | 0.137950 | -1.016965 | -0.226916 | -0.254662 | 0.386282 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 36 | N03 | RF_maintenance | ee Shape | 14.667972 | 11.764045 | 14.667972 | 1.206371 | 0.473286 | 1.576475 | 2.406114 | 0.500959 | 0.527508 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 36 | N03 | RF_maintenance | ee Shape | 29.015706 | 29.015706 | 21.062125 | 23.818029 | 18.048132 | 3.003095 | 2.863274 | 9.324786 | 8.611221 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 36 | N03 | RF_maintenance | ee Shape | 11.555207 | 10.682209 | 11.555207 | -0.719919 | 2.535306 | 2.423553 | 1.616988 | 0.723602 | -0.235827 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 36 | N03 | RF_maintenance | ee Shape | 75.057894 | 75.057894 | 68.959674 | 16.281945 | 12.944516 | 6.592986 | 5.715997 | 13.889925 | 15.066901 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 36 | N03 | RF_maintenance | ee Power | 38.905361 | 18.036785 | 19.415958 | 31.430217 | 38.905361 | 1.770498 | 2.527586 | 19.766930 | 18.873967 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 36 | N03 | RF_maintenance | ee Shape | 13.922511 | 9.984268 | 13.922511 | -0.288826 | -0.119789 | 2.536685 | 1.808223 | 0.836207 | 0.444779 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 36 | N03 | RF_maintenance | ee Shape | 1.129556 | 0.035389 | 1.129556 | -0.087797 | -0.404428 | 0.087338 | -0.148537 | 0.183003 | -0.531358 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 36 | N03 | RF_maintenance | ee Shape | 8.119930 | 6.030624 | 8.119930 | 4.605768 | 6.152312 | 3.833003 | 3.326741 | 6.889872 | 5.690417 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 36 | N03 | RF_maintenance | ee Shape | 16.254411 | 16.254411 | 11.756293 | -0.202944 | -0.441096 | 0.145136 | -0.042105 | -0.208456 | 1.021058 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 36 | N03 | RF_maintenance | ee Power | 42.843357 | 20.293840 | 18.805289 | 42.843357 | 36.065268 | 6.638884 | 6.135119 | 15.736383 | 17.063723 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 36 | N03 | RF_maintenance | ee Shape | 15.673280 | 15.673280 | 12.110689 | 0.218918 | -0.352662 | 2.436842 | -0.171192 | 0.189662 | 1.303937 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 36 | N03 | RF_maintenance | ee Shape | 21.218160 | 15.506743 | 21.218160 | -0.275395 | 0.000109 | 1.431390 | 2.881206 | 2.186121 | 1.679626 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 36 | N03 | RF_maintenance | ee Shape | 12.488536 | 9.188533 | 12.488536 | -0.313139 | -0.032083 | -0.141140 | 2.050127 | 2.525041 | 1.430899 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 36 | N03 | RF_maintenance | ee Shape | 15.831478 | 15.831478 | 11.871588 | 0.406583 | -0.001201 | 1.431135 | 0.709282 | 1.347805 | 0.462460 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 36 | N03 | RF_maintenance | ee Shape | 11.066510 | 8.427223 | 11.066510 | -0.092161 | 0.536569 | 0.679118 | 0.871691 | 3.058709 | 0.961996 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 36 | N03 | RF_maintenance | ee Shape | 10.789630 | 8.710529 | 10.789630 | -0.419685 | 0.026858 | 0.899228 | 1.482777 | 1.116562 | -0.015141 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 36 | N03 | RF_maintenance | ee Shape | 14.618815 | 14.618815 | 11.252529 | -0.022509 | -0.236434 | 1.589202 | 2.565256 | 3.284808 | 2.395897 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 36 | N03 | RF_maintenance | nn Shape | 4.962658 | 4.962658 | 4.571088 | -0.269548 | 0.736730 | 0.179344 | 1.782601 | 1.955274 | -0.165174 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 36 | N03 | RF_maintenance | ee Shape | 8.703575 | 8.703575 | 7.614487 | 0.353594 | -0.142058 | 1.535267 | -0.069257 | -0.587927 | -0.685150 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 36 | N03 | RF_maintenance | ee Shape | 9.637985 | 8.091595 | 9.637985 | -0.264689 | 0.246248 | 0.327945 | 1.676658 | 0.110516 | -0.016433 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 36 | N03 | RF_maintenance | ee Shape | 14.246222 | 14.246222 | 11.469417 | 0.152872 | -0.031847 | 5.457803 | 3.385039 | 1.849850 | 1.210246 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 36 | N03 | RF_maintenance | ee Shape | 8.672745 | 8.672745 | 6.422420 | 0.024441 | -0.366244 | 0.759094 | -0.356115 | 0.019205 | -0.123598 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 36 | N03 | RF_maintenance | ee Shape | 11.440527 | 8.222723 | 11.440527 | -0.066921 | 0.128244 | -0.076520 | 1.739510 | 1.374649 | 0.041431 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 36 | N03 | RF_maintenance | ee Shape | 7.678501 | 6.336392 | 7.678501 | -0.103265 | 0.215336 | 0.607199 | 1.558218 | 0.996903 | 0.003176 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 36 | N03 | RF_maintenance | nn Shape | nan | nan | nan | nan | nan | nan | nan | nan | nan |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 36 | N03 | RF_maintenance | ee Shape | 17.116824 | 14.632540 | 17.116824 | -0.170593 | -0.225881 | 3.667649 | 6.925480 | 4.798288 | 2.206866 |